Improve customer experience based on recommendation and detection of a pattern change in eating habits

This paper lays out a new approach to improve consumer experience using a graph database to extract the consumer eating habits from a large amount of anonymized data. As a result, a web system was developed for making recipes, recommendations using recommender system techniques, inference, and a graph technology. Also a set of multimedia components and mobile services are joined to the system in order to reach a new level of use of digital consumer services..